MonitoraSC: a new forest cover and land use map of Santa Catarina state

Detalhes bibliográficos
Autor(a) principal: Vibrans, Alexander Christian
Data de Publicação: 2021
Outros Autores: Nicoletti, Adilson Luiz, Liesenberg, Veraldo, Refosco, Julio Cesar, Kohler, Luciana Pereira de Araújo, Bizon, Artur Ricardo, Lingner, Débora Vanessa, Dal Bosco, Fernanda, Bueno, Marcus Moresco, da Silva, Murilo Schramm, Pessatti, Thales Bohn
Tipo de documento: Artigo
Idioma: por
Título da fonte: Agropecuária Catarinense (Online)
Texto Completo: https://publicacoes.epagri.sc.gov.br/rac/article/view/1086
Resumo: A forest cover and land use map provides fundamental information for territorial management, aiming at socioeconomic development, environmental planning and control and protection of natural resources. In this article, a new forest cover map is introduced, using synergies between field data from Santa Catarina Floristic and Forest Inventory (IFFSC) and remote sensing data. Landsat-8 OLI images (2017) were classified using the Random Forest algorithm. Twelve thematic classes were mapped; the minimum mapping area is 0.5 hectare. The map has an overall accuracy of 95%, with a confidence interval of 1.0% (alpha = 0.05). The average accuracy per class varies between 90% (agriculture) and 97% (restinga). Concerning the forest class, the map showed a 96.2% coincidence with the IFFSC sample points. Native forest cover (forests from the intermediate regeneration stage on) is present in 38.05% of the territory, reforestation in 10.46%, agriculture in 16.73% (including 1.77% of irrigated rice crops), pastures and natural savanna in 29.24%. The area of the original extension of the restinga was determined to be 1,773 km², of which 814.5 km² (or 45.9%) are covered by natural remnants, beaches and dunes. This mapping forms the basis for decision-making by public agents involved in territorial planning and management activities and will serve as a baseline for the continuous monitoring of the extent of the state's forest cover.
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spelling MonitoraSC: a new forest cover and land use map of Santa Catarina stateMonitoraSC: um novo mapa de cobertura florestal e uso da terra de Santa Catarinathematic mappingforest coverRandom Forest classificationmapeamento temático;cobertura florestal;classificação Random ForestA forest cover and land use map provides fundamental information for territorial management, aiming at socioeconomic development, environmental planning and control and protection of natural resources. In this article, a new forest cover map is introduced, using synergies between field data from Santa Catarina Floristic and Forest Inventory (IFFSC) and remote sensing data. Landsat-8 OLI images (2017) were classified using the Random Forest algorithm. Twelve thematic classes were mapped; the minimum mapping area is 0.5 hectare. The map has an overall accuracy of 95%, with a confidence interval of 1.0% (alpha = 0.05). The average accuracy per class varies between 90% (agriculture) and 97% (restinga). Concerning the forest class, the map showed a 96.2% coincidence with the IFFSC sample points. Native forest cover (forests from the intermediate regeneration stage on) is present in 38.05% of the territory, reforestation in 10.46%, agriculture in 16.73% (including 1.77% of irrigated rice crops), pastures and natural savanna in 29.24%. The area of the original extension of the restinga was determined to be 1,773 km², of which 814.5 km² (or 45.9%) are covered by natural remnants, beaches and dunes. This mapping forms the basis for decision-making by public agents involved in territorial planning and management activities and will serve as a baseline for the continuous monitoring of the extent of the state's forest cover.Um mapeamento da cobertura florestal e dos diferentes usos da terra proporciona informações fundamentais para a gestão territorial visando ao desenvolvimento social e econômico, planejamento e controle ambiental e proteção dos recursos naturais. Neste artigo, é apresentado um novo mapeamento, valendo-se de sinergias entre os dados de campo do Inventário Florístico Florestal de Santa Catarina (IFFSC) e o uso de recursos de sensoriamento remoto. Imagens do satélite Landsat-8 OLI do ano de 2017 foram classificadas, utilizando o algoritmo Random Forest. A legenda é composta por 12 classes temáticas; a área mínima mapeada é de 0,5 hectare. O mapa tem acurácia geral de 95%, com intervalo de confiança de 1,0% (alfa=0,05). A acurácia média por classe varia entre 90% (agricultura) e 97% (restinga).  Para a classe floresta, o mapa apresentou coincidência de 96,2% com os pontos amostrais do IFFSC. A cobertura florestal nativa (florestas a partir do estágio médio de regeneração) está presente em 38,05% do território, reflorestamentos em 10,46%, agricultura em 16,73% (incluídos 1,77% de culturas de arroz irrigado), pastagens e campos naturais em 29,24%. A área da extensão original da restinga foi determinada em 1.773km², dos quais 814,5km² (ou 45,9%) cobertos por remanescentes naturais, praias e dunas. O mapeamento constitui a base para a tomada de decisão de agentes públicos envolvidos em atividades de planejamento e gestão territorial e servirá como linha-base para o monitoramento contínuo da extensão da cobertura florestal do estado.Empresa de Pesquisa Agropecuária e Extensão Rural de Santa Catarina - Epagri2021-08-24info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://publicacoes.epagri.sc.gov.br/rac/article/view/108610.52945/rac.v34i2.1086Agropecuária Catarinense Journal; Vol. 34 No. 2 (2021); 42-48Agropecuária Catarinense; v. 34 n. 2 (2021); 42-482525-60760103-0779reponame:Agropecuária Catarinense (Online)instname:Empresa de Pesquisa Agropecuária e Extensão Rural de Santa Catarina (Epagri)instacron:EPAGRIporhttps://publicacoes.epagri.sc.gov.br/rac/article/view/1086/1129Copyright (c) 2021 Alexander Christian Vibrans, Adilson L. Nicoletti, Veraldo Liesenberg, Julio C. Refosco, Luciana P. de A. Kohler, Artur R. Bizon, Débora V. Lingner, Fernanda Dal Bosco, Marcus M. Boeno, Murilo S. da Silva, Thales B. Pessattihttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessVibrans, Alexander ChristianNicoletti, Adilson LuizLiesenberg, VeraldoRefosco, Julio CesarKohler, Luciana Pereira de Araújo Bizon, Artur RicardoLingner, Débora VanessaDal Bosco, FernandaBueno, Marcus Morescoda Silva, Murilo SchrammPessatti, Thales Bohn2021-11-08T20:17:02Zoai:ojs.publicacoes.epagri.sc.gov.br:article/1086Revistahttps://publicacoes.epagri.sc.gov.br/RAC/indexPUBhttps://publicacoes.epagri.sc.gov.br/index.php/RAC/oaieditoriarac@epagri.sc.gov.br || lamperuch@epagri.sc.gov.br2525-60760103-0779opendoar:2021-11-08T20:17:02Agropecuária Catarinense (Online) - Empresa de Pesquisa Agropecuária e Extensão Rural de Santa Catarina (Epagri)false
dc.title.none.fl_str_mv MonitoraSC: a new forest cover and land use map of Santa Catarina state
MonitoraSC: um novo mapa de cobertura florestal e uso da terra de Santa Catarina
title MonitoraSC: a new forest cover and land use map of Santa Catarina state
spellingShingle MonitoraSC: a new forest cover and land use map of Santa Catarina state
Vibrans, Alexander Christian
thematic mapping
forest cover
Random Forest classification
mapeamento temático;
cobertura florestal;
classificação Random Forest
title_short MonitoraSC: a new forest cover and land use map of Santa Catarina state
title_full MonitoraSC: a new forest cover and land use map of Santa Catarina state
title_fullStr MonitoraSC: a new forest cover and land use map of Santa Catarina state
title_full_unstemmed MonitoraSC: a new forest cover and land use map of Santa Catarina state
title_sort MonitoraSC: a new forest cover and land use map of Santa Catarina state
author Vibrans, Alexander Christian
author_facet Vibrans, Alexander Christian
Nicoletti, Adilson Luiz
Liesenberg, Veraldo
Refosco, Julio Cesar
Kohler, Luciana Pereira de Araújo
Bizon, Artur Ricardo
Lingner, Débora Vanessa
Dal Bosco, Fernanda
Bueno, Marcus Moresco
da Silva, Murilo Schramm
Pessatti, Thales Bohn
author_role author
author2 Nicoletti, Adilson Luiz
Liesenberg, Veraldo
Refosco, Julio Cesar
Kohler, Luciana Pereira de Araújo
Bizon, Artur Ricardo
Lingner, Débora Vanessa
Dal Bosco, Fernanda
Bueno, Marcus Moresco
da Silva, Murilo Schramm
Pessatti, Thales Bohn
author2_role author
author
author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Vibrans, Alexander Christian
Nicoletti, Adilson Luiz
Liesenberg, Veraldo
Refosco, Julio Cesar
Kohler, Luciana Pereira de Araújo
Bizon, Artur Ricardo
Lingner, Débora Vanessa
Dal Bosco, Fernanda
Bueno, Marcus Moresco
da Silva, Murilo Schramm
Pessatti, Thales Bohn
dc.subject.por.fl_str_mv thematic mapping
forest cover
Random Forest classification
mapeamento temático;
cobertura florestal;
classificação Random Forest
topic thematic mapping
forest cover
Random Forest classification
mapeamento temático;
cobertura florestal;
classificação Random Forest
description A forest cover and land use map provides fundamental information for territorial management, aiming at socioeconomic development, environmental planning and control and protection of natural resources. In this article, a new forest cover map is introduced, using synergies between field data from Santa Catarina Floristic and Forest Inventory (IFFSC) and remote sensing data. Landsat-8 OLI images (2017) were classified using the Random Forest algorithm. Twelve thematic classes were mapped; the minimum mapping area is 0.5 hectare. The map has an overall accuracy of 95%, with a confidence interval of 1.0% (alpha = 0.05). The average accuracy per class varies between 90% (agriculture) and 97% (restinga). Concerning the forest class, the map showed a 96.2% coincidence with the IFFSC sample points. Native forest cover (forests from the intermediate regeneration stage on) is present in 38.05% of the territory, reforestation in 10.46%, agriculture in 16.73% (including 1.77% of irrigated rice crops), pastures and natural savanna in 29.24%. The area of the original extension of the restinga was determined to be 1,773 km², of which 814.5 km² (or 45.9%) are covered by natural remnants, beaches and dunes. This mapping forms the basis for decision-making by public agents involved in territorial planning and management activities and will serve as a baseline for the continuous monitoring of the extent of the state's forest cover.
publishDate 2021
dc.date.none.fl_str_mv 2021-08-24
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://publicacoes.epagri.sc.gov.br/rac/article/view/1086
10.52945/rac.v34i2.1086
url https://publicacoes.epagri.sc.gov.br/rac/article/view/1086
identifier_str_mv 10.52945/rac.v34i2.1086
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://publicacoes.epagri.sc.gov.br/rac/article/view/1086/1129
dc.rights.driver.fl_str_mv https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Empresa de Pesquisa Agropecuária e Extensão Rural de Santa Catarina - Epagri
publisher.none.fl_str_mv Empresa de Pesquisa Agropecuária e Extensão Rural de Santa Catarina - Epagri
dc.source.none.fl_str_mv Agropecuária Catarinense Journal; Vol. 34 No. 2 (2021); 42-48
Agropecuária Catarinense; v. 34 n. 2 (2021); 42-48
2525-6076
0103-0779
reponame:Agropecuária Catarinense (Online)
instname:Empresa de Pesquisa Agropecuária e Extensão Rural de Santa Catarina (Epagri)
instacron:EPAGRI
instname_str Empresa de Pesquisa Agropecuária e Extensão Rural de Santa Catarina (Epagri)
instacron_str EPAGRI
institution EPAGRI
reponame_str Agropecuária Catarinense (Online)
collection Agropecuária Catarinense (Online)
repository.name.fl_str_mv Agropecuária Catarinense (Online) - Empresa de Pesquisa Agropecuária e Extensão Rural de Santa Catarina (Epagri)
repository.mail.fl_str_mv editoriarac@epagri.sc.gov.br || lamperuch@epagri.sc.gov.br
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